The retention report in GA4
The Retention report summarizes how well the property keeps users coming back: new vs returning users, user retention and engagement by daily cohort, and lifetime value. It is a pre-built overview; for custom retention windows and acquisition cohorts you move to cohort exploration.
What this means
The Retention report bundles new vs returning users, retention curves by daily cohort, engagement over time, and a lifetime-value trend into one standard overview. It is meant for a quick health check on whether the product or content brings people back.
Fixed cohorts vs cohort exploration
The retention report uses fixed, time-based daily cohorts and preset windows. That makes it fast but inflexible: you cannot redefine the inclusion event or change the granularity. When you need acquisition-event cohorts, weekly windows, or a custom return condition, the report will mislead, and the cohort exploration technique is the right tool. Read the standard report as a summary, not the final word on retention.
- New vs returning users at a glance
- Daily cohort retention curves
- For custom windows, use cohort exploration
How it appears in analytics and logs
Falling retention curves mean newer cohorts come back less than older ones did. The standard report fixes the cohort and window definitions; if you need different ones, it can mislead, and you should switch to cohort exploration.
Diagnostic use case
Get a fast read on whether returning-user behavior is healthy and how recent cohorts retain, before building a tailored cohort exploration for deeper cuts.
What WebmasterID can help detect
WebmasterID measures returning first-party visitors without cross-site identifiers, so retention signals come from data you own.
Common mistakes
- Treating the fixed-cohort report as fully customizable.
- Comparing its curves to a differently-defined cohort exploration.
- Ignoring how new-user volume shifts shape the curves.
Privacy and accuracy notes
Retention is computed from aggregated returning-user counts and applies thresholds. It describes cohort behavior, not identifiable individuals.
Related pages
- Cohort exploration
Cohort exploration groups users by a shared starting event (the cohort inclusion criterion) and follows a return criterion across time windows. Unlike the fixed retention report, you choose the inclusion event, return event, granularity, and calculation — so the same data yields very different curves depending on those choices.
- User lifetime exploration
User lifetime is a GA4 technique that aggregates metrics across each user's full history rather than a single session or date range — lifetime value, lifetime engagement, first/last touch. Because it spans the whole lifespan, its numbers don't map to a date-range report, which is the most common misreading.
- Cohort analysis
A cohort is a group of users who share a starting event — the week they first visited, the month they signed up. Cohort analysis follows each cohort over time so you can compare like with like. It separates 'are users behaving differently' from 'is the mix of users changing', which a single blended average can hide.
- Website observability
First-party returning-visitor signals.
Sources and verification notes
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.